What is the current concentration of PM10 in Chester City, Pennsylvania?

The current PM10 concentration at Chester City, Pennsylvania is 19.793 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Chester City, Pennsylvania?

The current sulfur dioxide (SO2) concentration at Chester City, Pennsylvania is 0.336 ppb.

What is the current concentration of ozone (O3) in Chester City, Pennsylvania?

The current ozone (O3) concentration at Chester City, Pennsylvania is 39.856 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Chester City, Pennsylvania?

The current nitrogen dioxide (NO2) concentration at Chester City, Pennsylvania is 11.519 ppb.

Chester City, Pennsylvania live air quality index now

Name: Live air pollution levels in Chester City, Pennsylvania today
Creator: Ambee

Stay updated with real-time air quality in Chester City, Pennsylvania featuring accurate data on AQI, PM_2.5, PM₁₀, O₃, NO₂, SO₂, and CO levels. Use our interactive map and detailed forecasts to monitor pollution trends, manage health risks, and plan your daily activities with confidence.

Live AQI (Air Quality Index)

Good

Chester City, Pennsylvania

Last updated: ... (Local time)

Major air pollutants in Chester City, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.47 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

19.79 μg/m³

155

255

425

605+

Ozone (O₃)

39.86 ppb

201

201+

Sulfur Dioxide (SO₂)

0.34 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

11.52 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.34 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Chester City, Pennsylvania

Get Live Pollen Counts

Chester City, Pennsylvania

Scroll To Air Quality Map

Track live Chester City, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T03:00:00.000Z	38 \| good	5.147 \| good	22.788 \| good	40.9 \| good	0.268 \| good	4.632 \| good	0.283 \| good
2025-10-20T04:00:00.000Z	38 \| good	4.962 \| good	21.84 \| good	40.959 \| good	0.21 \| good	4.001 \| good	0.283 \| good
2025-10-20T05:00:00.000Z	37 \| good	4.861 \| good	20.894 \| good	39.868 \| good	0.215 \| good	4.107 \| good	0.283 \| good
2025-10-20T06:00:00.000Z	39 \| good	4.051 \| good	17.789 \| good	41.737 \| good	0.303 \| good	3.823 \| good	0.247 \| good
2025-10-20T07:00:00.000Z	39 \| good	4.027 \| good	17.665 \| good	41.764 \| good	0.255 \| good	2.582 \| good	0.247 \| good
2025-10-20T08:00:00.000Z	34 \| good	3.514 \| good	15.619 \| good	36.886 \| good	0.262 \| good	3.007 \| good	0.246 \| good
2025-10-20T09:00:00.000Z	31 \| good	3.379 \| good	15.358 \| good	33.012 \| good	0.259 \| good	3.989 \| good	0.246 \| good
2025-10-20T10:00:00.000Z	27 \| good	3.825 \| good	17.181 \| good	29.183 \| good	0.288 \| good	5.614 \| good	0.294 \| good
2025-10-20T11:00:00.000Z	22 \| good	3.719 \| good	16.171 \| good	24.313 \| good	0.285 \| good	4.506 \| good	0.294 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.421 \| good	15.141 \| good	23.586 \| good	0.253 \| good	4.953 \| good	0.277 \| good
2025-10-20T13:00:00.000Z	21 \| good	2.697 \| good	11.497 \| good	23.245 \| good	0.331 \| good	6.324 \| good	0.277 \| good
2025-10-20T14:00:00.000Z	21 \| good	1.927 \| good	7.763 \| good	23.173 \| good	0.337 \| good	5.888 \| good	0.271 \| good
2025-10-20T15:00:00.000Z	23 \| good	1.845 \| good	7.784 \| good	25.02 \| good	0.227 \| good	5.644 \| good	0.271 \| good
2025-10-20T16:00:00.000Z	26 \| good	2.163 \| good	8.906 \| good	27.992 \| good	0.211 \| good	3.642 \| good	0.293 \| good
2025-10-20T17:00:00.000Z	28 \| good	2.651 \| good	10.809 \| good	29.96 \| good	0.267 \| good	3.208 \| good	0.269 \| good
2025-10-20T18:00:00.000Z	29 \| good	3.24 \| good	14.642 \| good	30.979 \| good	0.191 \| good	3.186 \| good	0.211 \| good
2025-10-20T19:00:00.000Z	26 \| good	3.709 \| good	16.556 \| good	28.165 \| good	0.214 \| good	3.195 \| good	0.207 \| good
2025-10-20T20:00:00.000Z	28 \| good	4.432 \| good	19.233 \| good	30.081 \| good	0.247 \| good	3.09 \| good	0.201 \| good
2025-10-20T21:00:00.000Z	27 \| good	4.611 \| good	20.118 \| good	28.173 \| good	0.198 \| good	3.357 \| good	0.207 \| good
2025-10-20T22:00:00.000Z	28 \| good	4.251 \| good	18.351 \| good	29.916 \| good	0.213 \| good	2.558 \| good	0.201 \| good
2025-10-20T23:00:00.000Z	26 \| good	4.416 \| good	19.158 \| good	28.065 \| good	0.184 \| good	4.061 \| good	0.219 \| good
2025-10-21T00:00:00.000Z	24 \| good	3.892 \| good	17.385 \| good	26.164 \| good	0.176 \| good	5.377 \| good	0.253 \| good
2025-10-21T01:00:00.000Z	23 \| good	4.191 \| good	18.361 \| good	25.18 \| good	0.197 \| good	5.692 \| good	0.253 \| good
2025-10-21T02:00:00.000Z	27 \| good	4.593 \| good	20.303 \| good	23.902 \| good	0.197 \| good	8.003 \| good	0.25 \| good
2025-10-21T03:00:00.000Z	27 \| good	4.63 \| good	20.313 \| good	21.512 \| good	1.521 \| good	7.665 \| good	0.151 \| good
2025-10-21T04:00:00.000Z	27 \| good	4.971 \| good	21.847 \| good	24.692 \| good	0.203 \| good	8.179 \| good	0.295 \| good
2025-10-21T05:00:00.000Z	22 \| good	4.473 \| good	19.899 \| good	21.001 \| good	0.214 \| good	8.194 \| good	0.295 \| good
2025-10-21T06:00:00.000Z	22 \| good	4.36 \| good	18.857 \| good	18.06 \| good	0.205 \| good	7.825 \| good	0.214 \| good
2025-10-21T07:00:00.000Z	27 \| good	4.527 \| good	19.693 \| good	17.803 \| good	0.188 \| good	9.132 \| good	0.267 \| good
2025-10-21T08:00:00.000Z	27 \| good	4.985 \| good	21.539 \| good	15.899 \| good	0.211 \| good	8.409 \| good	0.238 \| good
2025-10-21T09:00:00.000Z	27 \| good	4.902 \| good	21.614 \| good	10.489 \| good	0.211 \| good	7.866 \| good	0.232 \| good
2025-10-21T10:00:00.000Z	27 \| good	5.267 \| good	22.484 \| good	8.358 \| good	0.258 \| good	10.16 \| good	0.279 \| good
2025-10-21T11:00:00.000Z	33 \| good	6.49 \| good	29.072 \| good	6.831 \| good	0.263 \| good	17.957 \| good	0.285 \| good
2025-10-21T12:00:00.000Z	44 \| good	7.563 \| good	33.022 \| good	6.184 \| good	0.318 \| good	18.926 \| good	0.388 \| good
2025-10-21T13:00:00.000Z	38 \| good	6.855 \| good	30.369 \| good	10.83 \| good	0.401 \| good	20.602 \| good	0.455 \| good
2025-10-21T14:00:00.000Z	38 \| good	7.175 \| good	31.515 \| good	11.82 \| good	0.628 \| good	19.2 \| good	0.471 \| good
2025-10-21T15:00:00.000Z	38 \| good	6.87 \| good	30.816 \| good	14.7 \| good	0.928 \| good	13.363 \| good	0.355 \| good
2025-10-21T16:00:00.000Z	27 \| good	5.207 \| good	22.991 \| good	15.225 \| good	0.65 \| good	8.619 \| good	0.318 \| good
2025-10-21T17:00:00.000Z	26 \| good	4.117 \| good	18.058 \| good	27.801 \| good	0.43 \| good	8.495 \| good	0.275 \| good
2025-10-21T18:00:00.000Z	28 \| good	3.522 \| good	16.037 \| good	29.882 \| good	0.322 \| good	7.09 \| good	0.284 \| good
2025-10-21T19:00:00.000Z	35 \| good	3.41 \| good	15.049 \| good	37.599 \| good	0.322 \| good	5.812 \| good	0.248 \| good
2025-10-21T20:00:00.000Z	37 \| good	3.608 \| good	16.015 \| good	39.586 \| good	0.296 \| good	5.623 \| good	0.248 \| good
2025-10-21T21:00:00.000Z	37 \| good	3.813 \| good	17.041 \| good	39.844 \| good	0.296 \| good	5.85 \| good	0.29 \| good
2025-10-21T22:00:00.000Z	37 \| good	3.823 \| good	17.095 \| good	39.843 \| good	0.284 \| good	7.398 \| good	0.29 \| good
2025-10-21T23:00:00.000Z	37 \| good	4.034 \| good	18.091 \| good	40.427 \| good	0.286 \| good	5.646 \| good	0.313 \| good
2025-10-22T00:00:00.000Z	39 \| good	4.118 \| good	18.081 \| good	41.612 \| good	0.328 \| good	7.552 \| good	0.336 \| good
2025-10-22T01:00:00.000Z	37 \| good	4.47 \| good	19.793 \| good	39.856 \| good	0.336 \| good	11.519 \| good	0.337 \| good
2025-10-22T02:00:00.000Z	37 \| good	4.47 \| good	19.793 \| good	39.856 \| good	0.336 \| good	11.519 \| good	0.337 \| good
2025-10-22T03:00:00.000Z	49 \| good	8.527 \| good	37.369 \| good	33.453 \| good	1.243 \| good	5.352 \| good	0.165 \| good
2025-10-22T04:00:00.000Z	44 \| good	8.33 \| good	36.46 \| good	27.717 \| good	1.221 \| good	4.904 \| good	0.16 \| good
2025-10-22T05:00:00.000Z	44 \| good	7.903 \| good	34.831 \| good	26.063 \| good	1.2 \| good	4.455 \| good	0.154 \| good
2025-10-22T06:00:00.000Z	44 \| good	8.231 \| good	36.152 \| good	24.979 \| good	1.178 \| good	4.006 \| good	0.148 \| good
2025-10-22T07:00:00.000Z	44 \| good	7.927 \| good	34.819 \| good	23.348 \| good	1.278 \| good	4.434 \| good	0.153 \| good
2025-10-22T08:00:00.000Z	49 \| good	9.301 \| good	41.603 \| good	16.28 \| good	1.378 \| good	4.862 \| good	0.157 \| good
2025-10-22T09:00:00.000Z	49 \| good	9.06 \| good	39.998 \| good	12.959 \| good	1.478 \| good	5.29 \| good	0.162 \| good
2025-10-22T10:00:00.000Z	44 \| good	7.599 \| good	33.531 \| good	14.925 \| good	1.858 \| good	5.854 \| good	0.165 \| good
2025-10-22T11:00:00.000Z	33 \| good	6.068 \| good	26.519 \| good	16.312 \| good	2.237 \| good	6.418 \| good	0.169 \| good
2025-10-22T12:00:00.000Z	27 \| good	5.043 \| good	21.777 \| good	20.729 \| good	2.617 \| good	6.982 \| good	0.172 \| good
2025-10-22T13:00:00.000Z	22 \| good	4.136 \| good	18.053 \| good	23.753 \| good	2.542 \| good	5.486 \| good	0.16 \| good
2025-10-22T14:00:00.000Z	28 \| good	2.379 \| good	9.726 \| good	30.124 \| good	2.467 \| good	3.989 \| good	0.148 \| good
2025-10-22T15:00:00.000Z	33 \| good	1.924 \| good	8.058 \| good	35.805 \| good	2.392 \| good	2.493 \| good	0.136 \| good
2025-10-22T16:00:00.000Z	35 \| good	1.964 \| good	8.036 \| good	37.616 \| good	2.108 \| good	2.217 \| good	0.133 \| good
2025-10-22T17:00:00.000Z	36 \| good	4.072 \| good	17.996 \| good	38.547 \| good	1.824 \| good	1.94 \| good	0.13 \| good
2025-10-22T18:00:00.000Z	33 \| good	3.942 \| good	17.165 \| good	35.679 \| good	1.54 \| good	1.664 \| good	0.127 \| good
2025-10-22T19:00:00.000Z	31 \| good	4.475 \| good	19.43 \| good	33.069 \| good	1.57 \| good	1.965 \| good	0.129 \| good
2025-10-22T20:00:00.000Z	30 \| good	4.138 \| good	18.32 \| good	31.659 \| good	1.601 \| good	2.266 \| good	0.131 \| good
2025-10-22T21:00:00.000Z	30 \| good	4.027 \| good	17.777 \| good	32.192 \| good	1.632 \| good	2.568 \| good	0.134 \| good
2025-10-22T22:00:00.000Z	28 \| good	4.032 \| good	17.654 \| good	30.481 \| good	1.587 \| good	3.884 \| good	0.142 \| good
2025-10-22T23:00:00.000Z	26 \| good	3.927 \| good	17.09 \| good	28.129 \| good	1.542 \| good	5.2 \| good	0.15 \| good
2025-10-23T00:00:00.000Z	24 \| good	3.796 \| good	16.701 \| good	26.437 \| good	1.497 \| good	6.516 \| good	0.158 \| good
2025-10-23T01:00:00.000Z	25 \| good	4.374 \| good	19.274 \| good	26.688 \| good	1.513 \| good	6.437 \| good	0.157 \| good
2025-10-23T02:00:00.000Z	27 \| good	4.973 \| good	21.543 \| good	28.618 \| good	1.528 \| good	6.359 \| good	0.155 \| good
2025-10-23T03:00:00.000Z	33 \| good	5.858 \| good	26.093 \| good	27.51 \| good	1.544 \| good	6.28 \| good	0.154 \| good
2025-10-23T04:00:00.000Z	33 \| good	5.947 \| good	26.086 \| good	26.063 \| good	1.67 \| good	5.903 \| good	0.151 \| good
2025-10-23T05:00:00.000Z	27 \| good	5.322 \| good	22.704 \| good	23.945 \| good	1.797 \| good	5.526 \| good	0.147 \| good
2025-10-23T06:00:00.000Z	33 \| good	5.731 \| good	24.8 \| good	23.275 \| good	1.923 \| good	5.148 \| good	0.144 \| good
2025-10-23T07:00:00.000Z	27 \| good	5.34 \| good	23.054 \| good	22.219 \| good	2.108 \| good	5.073 \| good	0.143 \| good
2025-10-23T08:00:00.000Z	33 \| good	5.817 \| good	25.021 \| good	19.65 \| good	2.293 \| good	4.998 \| good	0.142 \| good
2025-10-23T09:00:00.000Z	33 \| good	6.177 \| good	27.38 \| good	15.011 \| good	2.478 \| good	4.923 \| good	0.14 \| good
2025-10-23T10:00:00.000Z	33 \| good	6.187 \| good	27.331 \| good	14.417 \| good	2.555 \| good	5.754 \| good	0.148 \| good
2025-10-23T11:00:00.000Z	33 \| good	6.328 \| good	28.32 \| good	12.976 \| good	2.632 \| good	6.584 \| good	0.156 \| good
2025-10-23T12:00:00.000Z	38 \| good	6.505 \| good	28.954 \| good	15.942 \| good	2.709 \| good	7.414 \| good	0.163 \| good
2025-10-23T13:00:00.000Z	27 \| good	4.817 \| good	20.772 \| good	23.54 \| good	2.563 \| good	5.959 \| good	0.157 \| good
2025-10-23T14:00:00.000Z	31 \| good	4.28 \| good	18.728 \| good	33.218 \| good	2.417 \| good	4.505 \| good	0.15 \| good
2025-10-23T15:00:00.000Z	36 \| good	5.22 \| good	22.839 \| good	38.912 \| good	2.271 \| good	3.05 \| good	0.143 \| good
2025-10-23T16:00:00.000Z	38 \| good	4.938 \| good	21.112 \| good	41.212 \| good	1.971 \| good	2.681 \| good	0.141 \| good
2025-10-23T17:00:00.000Z	38 \| good	4.588 \| good	19.954 \| good	40.943 \| good	1.672 \| good	2.313 \| good	0.138 \| good
2025-10-23T18:00:00.000Z	34 \| good	4.113 \| good	18.31 \| good	36.983 \| good	1.372 \| good	1.944 \| good	0.136 \| good
2025-10-23T19:00:00.000Z	33 \| good	4.13 \| good	18.263 \| good	36.164 \| good	1.348 \| good	2.199 \| good	0.137 \| good
2025-10-23T20:00:00.000Z	31 \| good	3.767 \| good	16.612 \| good	33.886 \| good	1.323 \| good	2.454 \| good	0.138 \| good
2025-10-23T21:00:00.000Z	31 \| good	3.244 \| good	13.943 \| good	32.809 \| good	1.299 \| good	2.708 \| good	0.14 \| good
2025-10-23T22:00:00.000Z	27 \| good	2.541 \| good	10.121 \| good	29.449 \| good	1.403 \| good	4.321 \| good	0.15 \| good
2025-10-23T23:00:00.000Z	24 \| good	2.384 \| good	9.655 \| good	25.817 \| good	1.508 \| good	5.934 \| good	0.161 \| good
2025-10-24T00:00:00.000Z	27 \| good	4.603 \| good	4.622 \| good	25.259 \| good	1.614 \| good	7.502 \| good	0.171 \| good
2025-10-24T01:00:00.000Z	24 \| good	4.438 \| good	19.161 \| good	25.735 \| good	1.68 \| good	7.839 \| good	0.173 \| good
2025-10-24T02:00:00.000Z	27 \| good	5.37 \| good	23.033 \| good	22.835 \| good	1.747 \| good	8.131 \| good	0.175 \| good

Chester city

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Chester City, Pennsylvania air quality map: Track AQI near you

0.40ppm

How accurate is Pennsylvania, USA air quality data?

Air quality data and pollutant measurements for Pennsylvania, USA adhere to strict US EPA standards. The data is collected from multiple reliable sources, including satellites and ground-based monitoring stations. This data is further analyzed and enhanced using machine learning and advanced algorithms that factor in elements such as traffic and population density, ensuring accurate and reliable results.

Source: Ambee Data Sources

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Frequently asked questions

How often is the air quality data for Chester City, Pennsylvania updated?

The air quality for Chester City, Pennsylvania is updated every hour.

When was the worst air quality at Chester City, Pennsylvania in the last 24 hrs?

The worst air quality in Chester City, Pennsylvania in the last 24 hours was observed at 12:00:00 on 2025-10-21.

When was the best air quality at Chester City, Pennsylvania in the last 24 hrs?

In the last 24 hrs, the best air quality in Chester City, Pennsylvania was observed at 06:00:00 on 2025-10-21.

What is the current air quality in Chester City, Pennsylvania?

The current air quality in Chester City, Pennsylvania is 37, categorized as Good based on real-time data.

What pollutant is the most common in Chester City, Pennsylvania?

The most common pollutant in Chester City, Pennsylvania is O3.

What should I do if the air quality in Chester City, Pennsylvania is poor?

If the air quality in Chester City, Pennsylvania is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Chester City, Pennsylvania?

The current PM_2.5 concentration at Chester City, Pennsylvania is 4.47 μg/m³.

What is the current concentration of PM₁₀ in Chester City, Pennsylvania?

The current PM₁₀ concentration at Chester City, Pennsylvania is 19.793 μg/m³.

What is the current concentration of carbon monoxide (CO) in Chester City, Pennsylvania?

The current carbon monoxide (CO) concentration at Chester City, Pennsylvania is 0.337 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Chester City, Pennsylvania?

The current sulfur dioxide (SO₂) concentration at Chester City, Pennsylvania is 0.336 ppb.

What is the current concentration of ozone (O₃) in Chester City, Pennsylvania?

The current ozone (O₃) concentration at Chester City, Pennsylvania is 39.856 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Chester City, Pennsylvania?

The current nitrogen dioxide (NO₂) concentration at Chester City, Pennsylvania is 11.519 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T03:00:00.000Z	38 \| good	5.147 \| good	22.788 \| good	40.9 \| good	0.268 \| good	4.632 \| good	0.283 \| good
2025-10-20T04:00:00.000Z	38 \| good	4.962 \| good	21.84 \| good	40.959 \| good	0.21 \| good	4.001 \| good	0.283 \| good
2025-10-20T05:00:00.000Z	37 \| good	4.861 \| good	20.894 \| good	39.868 \| good	0.215 \| good	4.107 \| good	0.283 \| good
2025-10-20T06:00:00.000Z	39 \| good	4.051 \| good	17.789 \| good	41.737 \| good	0.303 \| good	3.823 \| good	0.247 \| good
2025-10-20T07:00:00.000Z	39 \| good	4.027 \| good	17.665 \| good	41.764 \| good	0.255 \| good	2.582 \| good	0.247 \| good
2025-10-20T08:00:00.000Z	34 \| good	3.514 \| good	15.619 \| good	36.886 \| good	0.262 \| good	3.007 \| good	0.246 \| good
2025-10-20T09:00:00.000Z	31 \| good	3.379 \| good	15.358 \| good	33.012 \| good	0.259 \| good	3.989 \| good	0.246 \| good
2025-10-20T10:00:00.000Z	27 \| good	3.825 \| good	17.181 \| good	29.183 \| good	0.288 \| good	5.614 \| good	0.294 \| good
2025-10-20T11:00:00.000Z	22 \| good	3.719 \| good	16.171 \| good	24.313 \| good	0.285 \| good	4.506 \| good	0.294 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.421 \| good	15.141 \| good	23.586 \| good	0.253 \| good	4.953 \| good	0.277 \| good
2025-10-20T13:00:00.000Z	21 \| good	2.697 \| good	11.497 \| good	23.245 \| good	0.331 \| good	6.324 \| good	0.277 \| good
2025-10-20T14:00:00.000Z	21 \| good	1.927 \| good	7.763 \| good	23.173 \| good	0.337 \| good	5.888 \| good	0.271 \| good
2025-10-20T15:00:00.000Z	23 \| good	1.845 \| good	7.784 \| good	25.02 \| good	0.227 \| good	5.644 \| good	0.271 \| good
2025-10-20T16:00:00.000Z	26 \| good	2.163 \| good	8.906 \| good	27.992 \| good	0.211 \| good	3.642 \| good	0.293 \| good
2025-10-20T17:00:00.000Z	28 \| good	2.651 \| good	10.809 \| good	29.96 \| good	0.267 \| good	3.208 \| good	0.269 \| good
2025-10-20T18:00:00.000Z	29 \| good	3.24 \| good	14.642 \| good	30.979 \| good	0.191 \| good	3.186 \| good	0.211 \| good
2025-10-20T19:00:00.000Z	26 \| good	3.709 \| good	16.556 \| good	28.165 \| good	0.214 \| good	3.195 \| good	0.207 \| good
2025-10-20T20:00:00.000Z	28 \| good	4.432 \| good	19.233 \| good	30.081 \| good	0.247 \| good	3.09 \| good	0.201 \| good
2025-10-20T21:00:00.000Z	27 \| good	4.611 \| good	20.118 \| good	28.173 \| good	0.198 \| good	3.357 \| good	0.207 \| good
2025-10-20T22:00:00.000Z	28 \| good	4.251 \| good	18.351 \| good	29.916 \| good	0.213 \| good	2.558 \| good	0.201 \| good
2025-10-20T23:00:00.000Z	26 \| good	4.416 \| good	19.158 \| good	28.065 \| good	0.184 \| good	4.061 \| good	0.219 \| good
2025-10-21T00:00:00.000Z	24 \| good	3.892 \| good	17.385 \| good	26.164 \| good	0.176 \| good	5.377 \| good	0.253 \| good
2025-10-21T01:00:00.000Z	23 \| good	4.191 \| good	18.361 \| good	25.18 \| good	0.197 \| good	5.692 \| good	0.253 \| good
2025-10-21T02:00:00.000Z	27 \| good	4.593 \| good	20.303 \| good	23.902 \| good	0.197 \| good	8.003 \| good	0.25 \| good
2025-10-21T03:00:00.000Z	27 \| good	4.63 \| good	20.313 \| good	21.512 \| good	1.521 \| good	7.665 \| good	0.151 \| good
2025-10-21T04:00:00.000Z	27 \| good	4.971 \| good	21.847 \| good	24.692 \| good	0.203 \| good	8.179 \| good	0.295 \| good
2025-10-21T05:00:00.000Z	22 \| good	4.473 \| good	19.899 \| good	21.001 \| good	0.214 \| good	8.194 \| good	0.295 \| good
2025-10-21T06:00:00.000Z	22 \| good	4.36 \| good	18.857 \| good	18.06 \| good	0.205 \| good	7.825 \| good	0.214 \| good
2025-10-21T07:00:00.000Z	27 \| good	4.527 \| good	19.693 \| good	17.803 \| good	0.188 \| good	9.132 \| good	0.267 \| good
2025-10-21T08:00:00.000Z	27 \| good	4.985 \| good	21.539 \| good	15.899 \| good	0.211 \| good	8.409 \| good	0.238 \| good
2025-10-21T09:00:00.000Z	27 \| good	4.902 \| good	21.614 \| good	10.489 \| good	0.211 \| good	7.866 \| good	0.232 \| good
2025-10-21T10:00:00.000Z	27 \| good	5.267 \| good	22.484 \| good	8.358 \| good	0.258 \| good	10.16 \| good	0.279 \| good
2025-10-21T11:00:00.000Z	33 \| good	6.49 \| good	29.072 \| good	6.831 \| good	0.263 \| good	17.957 \| good	0.285 \| good
2025-10-21T12:00:00.000Z	44 \| good	7.563 \| good	33.022 \| good	6.184 \| good	0.318 \| good	18.926 \| good	0.388 \| good
2025-10-21T13:00:00.000Z	38 \| good	6.855 \| good	30.369 \| good	10.83 \| good	0.401 \| good	20.602 \| good	0.455 \| good
2025-10-21T14:00:00.000Z	38 \| good	7.175 \| good	31.515 \| good	11.82 \| good	0.628 \| good	19.2 \| good	0.471 \| good
2025-10-21T15:00:00.000Z	38 \| good	6.87 \| good	30.816 \| good	14.7 \| good	0.928 \| good	13.363 \| good	0.355 \| good
2025-10-21T16:00:00.000Z	27 \| good	5.207 \| good	22.991 \| good	15.225 \| good	0.65 \| good	8.619 \| good	0.318 \| good
2025-10-21T17:00:00.000Z	26 \| good	4.117 \| good	18.058 \| good	27.801 \| good	0.43 \| good	8.495 \| good	0.275 \| good
2025-10-21T18:00:00.000Z	28 \| good	3.522 \| good	16.037 \| good	29.882 \| good	0.322 \| good	7.09 \| good	0.284 \| good
2025-10-21T19:00:00.000Z	35 \| good	3.41 \| good	15.049 \| good	37.599 \| good	0.322 \| good	5.812 \| good	0.248 \| good
2025-10-21T20:00:00.000Z	37 \| good	3.608 \| good	16.015 \| good	39.586 \| good	0.296 \| good	5.623 \| good	0.248 \| good
2025-10-21T21:00:00.000Z	37 \| good	3.813 \| good	17.041 \| good	39.844 \| good	0.296 \| good	5.85 \| good	0.29 \| good
2025-10-21T22:00:00.000Z	37 \| good	3.823 \| good	17.095 \| good	39.843 \| good	0.284 \| good	7.398 \| good	0.29 \| good
2025-10-21T23:00:00.000Z	37 \| good	4.034 \| good	18.091 \| good	40.427 \| good	0.286 \| good	5.646 \| good	0.313 \| good
2025-10-22T00:00:00.000Z	39 \| good	4.118 \| good	18.081 \| good	41.612 \| good	0.328 \| good	7.552 \| good	0.336 \| good
2025-10-22T01:00:00.000Z	37 \| good	4.47 \| good	19.793 \| good	39.856 \| good	0.336 \| good	11.519 \| good	0.337 \| good
2025-10-22T02:00:00.000Z	37 \| good	4.47 \| good	19.793 \| good	39.856 \| good	0.336 \| good	11.519 \| good	0.337 \| good
2025-10-22T03:00:00.000Z	49 \| good	8.527 \| good	37.369 \| good	33.453 \| good	1.243 \| good	5.352 \| good	0.165 \| good
2025-10-22T04:00:00.000Z	44 \| good	8.33 \| good	36.46 \| good	27.717 \| good	1.221 \| good	4.904 \| good	0.16 \| good
2025-10-22T05:00:00.000Z	44 \| good	7.903 \| good	34.831 \| good	26.063 \| good	1.2 \| good	4.455 \| good	0.154 \| good
2025-10-22T06:00:00.000Z	44 \| good	8.231 \| good	36.152 \| good	24.979 \| good	1.178 \| good	4.006 \| good	0.148 \| good
2025-10-22T07:00:00.000Z	44 \| good	7.927 \| good	34.819 \| good	23.348 \| good	1.278 \| good	4.434 \| good	0.153 \| good
2025-10-22T08:00:00.000Z	49 \| good	9.301 \| good	41.603 \| good	16.28 \| good	1.378 \| good	4.862 \| good	0.157 \| good
2025-10-22T09:00:00.000Z	49 \| good	9.06 \| good	39.998 \| good	12.959 \| good	1.478 \| good	5.29 \| good	0.162 \| good
2025-10-22T10:00:00.000Z	44 \| good	7.599 \| good	33.531 \| good	14.925 \| good	1.858 \| good	5.854 \| good	0.165 \| good
2025-10-22T11:00:00.000Z	33 \| good	6.068 \| good	26.519 \| good	16.312 \| good	2.237 \| good	6.418 \| good	0.169 \| good
2025-10-22T12:00:00.000Z	27 \| good	5.043 \| good	21.777 \| good	20.729 \| good	2.617 \| good	6.982 \| good	0.172 \| good
2025-10-22T13:00:00.000Z	22 \| good	4.136 \| good	18.053 \| good	23.753 \| good	2.542 \| good	5.486 \| good	0.16 \| good
2025-10-22T14:00:00.000Z	28 \| good	2.379 \| good	9.726 \| good	30.124 \| good	2.467 \| good	3.989 \| good	0.148 \| good
2025-10-22T15:00:00.000Z	33 \| good	1.924 \| good	8.058 \| good	35.805 \| good	2.392 \| good	2.493 \| good	0.136 \| good
2025-10-22T16:00:00.000Z	35 \| good	1.964 \| good	8.036 \| good	37.616 \| good	2.108 \| good	2.217 \| good	0.133 \| good
2025-10-22T17:00:00.000Z	36 \| good	4.072 \| good	17.996 \| good	38.547 \| good	1.824 \| good	1.94 \| good	0.13 \| good
2025-10-22T18:00:00.000Z	33 \| good	3.942 \| good	17.165 \| good	35.679 \| good	1.54 \| good	1.664 \| good	0.127 \| good
2025-10-22T19:00:00.000Z	31 \| good	4.475 \| good	19.43 \| good	33.069 \| good	1.57 \| good	1.965 \| good	0.129 \| good
2025-10-22T20:00:00.000Z	30 \| good	4.138 \| good	18.32 \| good	31.659 \| good	1.601 \| good	2.266 \| good	0.131 \| good
2025-10-22T21:00:00.000Z	30 \| good	4.027 \| good	17.777 \| good	32.192 \| good	1.632 \| good	2.568 \| good	0.134 \| good
2025-10-22T22:00:00.000Z	28 \| good	4.032 \| good	17.654 \| good	30.481 \| good	1.587 \| good	3.884 \| good	0.142 \| good
2025-10-22T23:00:00.000Z	26 \| good	3.927 \| good	17.09 \| good	28.129 \| good	1.542 \| good	5.2 \| good	0.15 \| good
2025-10-23T00:00:00.000Z	24 \| good	3.796 \| good	16.701 \| good	26.437 \| good	1.497 \| good	6.516 \| good	0.158 \| good
2025-10-23T01:00:00.000Z	25 \| good	4.374 \| good	19.274 \| good	26.688 \| good	1.513 \| good	6.437 \| good	0.157 \| good
2025-10-23T02:00:00.000Z	27 \| good	4.973 \| good	21.543 \| good	28.618 \| good	1.528 \| good	6.359 \| good	0.155 \| good
2025-10-23T03:00:00.000Z	33 \| good	5.858 \| good	26.093 \| good	27.51 \| good	1.544 \| good	6.28 \| good	0.154 \| good
2025-10-23T04:00:00.000Z	33 \| good	5.947 \| good	26.086 \| good	26.063 \| good	1.67 \| good	5.903 \| good	0.151 \| good
2025-10-23T05:00:00.000Z	27 \| good	5.322 \| good	22.704 \| good	23.945 \| good	1.797 \| good	5.526 \| good	0.147 \| good
2025-10-23T06:00:00.000Z	33 \| good	5.731 \| good	24.8 \| good	23.275 \| good	1.923 \| good	5.148 \| good	0.144 \| good
2025-10-23T07:00:00.000Z	27 \| good	5.34 \| good	23.054 \| good	22.219 \| good	2.108 \| good	5.073 \| good	0.143 \| good
2025-10-23T08:00:00.000Z	33 \| good	5.817 \| good	25.021 \| good	19.65 \| good	2.293 \| good	4.998 \| good	0.142 \| good
2025-10-23T09:00:00.000Z	33 \| good	6.177 \| good	27.38 \| good	15.011 \| good	2.478 \| good	4.923 \| good	0.14 \| good
2025-10-23T10:00:00.000Z	33 \| good	6.187 \| good	27.331 \| good	14.417 \| good	2.555 \| good	5.754 \| good	0.148 \| good
2025-10-23T11:00:00.000Z	33 \| good	6.328 \| good	28.32 \| good	12.976 \| good	2.632 \| good	6.584 \| good	0.156 \| good
2025-10-23T12:00:00.000Z	38 \| good	6.505 \| good	28.954 \| good	15.942 \| good	2.709 \| good	7.414 \| good	0.163 \| good
2025-10-23T13:00:00.000Z	27 \| good	4.817 \| good	20.772 \| good	23.54 \| good	2.563 \| good	5.959 \| good	0.157 \| good
2025-10-23T14:00:00.000Z	31 \| good	4.28 \| good	18.728 \| good	33.218 \| good	2.417 \| good	4.505 \| good	0.15 \| good
2025-10-23T15:00:00.000Z	36 \| good	5.22 \| good	22.839 \| good	38.912 \| good	2.271 \| good	3.05 \| good	0.143 \| good
2025-10-23T16:00:00.000Z	38 \| good	4.938 \| good	21.112 \| good	41.212 \| good	1.971 \| good	2.681 \| good	0.141 \| good
2025-10-23T17:00:00.000Z	38 \| good	4.588 \| good	19.954 \| good	40.943 \| good	1.672 \| good	2.313 \| good	0.138 \| good
2025-10-23T18:00:00.000Z	34 \| good	4.113 \| good	18.31 \| good	36.983 \| good	1.372 \| good	1.944 \| good	0.136 \| good
2025-10-23T19:00:00.000Z	33 \| good	4.13 \| good	18.263 \| good	36.164 \| good	1.348 \| good	2.199 \| good	0.137 \| good
2025-10-23T20:00:00.000Z	31 \| good	3.767 \| good	16.612 \| good	33.886 \| good	1.323 \| good	2.454 \| good	0.138 \| good
2025-10-23T21:00:00.000Z	31 \| good	3.244 \| good	13.943 \| good	32.809 \| good	1.299 \| good	2.708 \| good	0.14 \| good
2025-10-23T22:00:00.000Z	27 \| good	2.541 \| good	10.121 \| good	29.449 \| good	1.403 \| good	4.321 \| good	0.15 \| good
2025-10-23T23:00:00.000Z	24 \| good	2.384 \| good	9.655 \| good	25.817 \| good	1.508 \| good	5.934 \| good	0.161 \| good
2025-10-24T00:00:00.000Z	27 \| good	4.603 \| good	4.622 \| good	25.259 \| good	1.614 \| good	7.502 \| good	0.171 \| good
2025-10-24T01:00:00.000Z	24 \| good	4.438 \| good	19.161 \| good	25.735 \| good	1.68 \| good	7.839 \| good	0.173 \| good
2025-10-24T02:00:00.000Z	27 \| good	5.37 \| good	23.033 \| good	22.835 \| good	1.747 \| good	8.131 \| good	0.175 \| good

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Major air pollutants in Chester City, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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